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<div class="header">
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<a href="#nested-classes">Data Structures</a> &#124;
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Data Structures</h2></td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">union &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="unionarm__nnword.html">arm_nnword</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Union for SIMD access of q31/q15/q7 types.  <a href="unionarm__nnword.html#details">More...</a><br/></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__nn__double.html">arm_nn_double</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Union for data type long long.  <a href="structarm__nn__double.html#details">More...</a><br/></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">union &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="unionarm__nn__long__long.html">arm_nn_long_long</a></td></tr>
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Macros</h2></td></tr>
<tr class="memitem:a2953f124ae444ebdd2b2a0873ac36b7e"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a2953f124ae444ebdd2b2a0873ac36b7e">LEFT_SHIFT</a>(_shift)</td></tr>
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<tr class="memitem:a26af54489c1401b91595bf0c92ef87c4"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a26af54489c1401b91595bf0c92ef87c4">RIGHT_SHIFT</a>(_shift)</td></tr>
<tr class="separator:a26af54489c1401b91595bf0c92ef87c4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a76b700415a2c22cea484103b7123739b"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a76b700415a2c22cea484103b7123739b">MASK_IF_ZERO</a>(x)</td></tr>
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<tr class="memitem:a0bc8558b22558613ed3ad3eb624ec7a5"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a0bc8558b22558613ed3ad3eb624ec7a5">MASK_IF_NON_ZERO</a>(x)</td></tr>
<tr class="separator:a0bc8558b22558613ed3ad3eb624ec7a5"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6f69b7e95b80e10a5f5d2ddbbfbc301f"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a6f69b7e95b80e10a5f5d2ddbbfbc301f">SELECT_USING_MASK</a>(mask, a, b)</td></tr>
<tr class="separator:a6f69b7e95b80e10a5f5d2ddbbfbc301f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad935f1ff1a50822e317bdb321ce991ad"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#ad935f1ff1a50822e317bdb321ce991ad">MAX</a>(A, B)</td></tr>
<tr class="separator:ad935f1ff1a50822e317bdb321ce991ad"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:adcd021ac91d43a62b2cdecf9a5b971a7"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#adcd021ac91d43a62b2cdecf9a5b971a7">MIN</a>(A, B)</td></tr>
<tr class="separator:adcd021ac91d43a62b2cdecf9a5b971a7"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abe05f0e80d965ae31dec16ba4063f48a"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#abe05f0e80d965ae31dec16ba4063f48a">CLAMP</a>(x, h, l)</td></tr>
<tr class="separator:abe05f0e80d965ae31dec16ba4063f48a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a19343832dbe881d527496171f69dc0c3"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a19343832dbe881d527496171f69dc0c3">REDUCE_MULTIPLIER</a>(_mult)</td></tr>
<tr class="separator:a19343832dbe881d527496171f69dc0c3"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7f8d7623a6fd3492efd9b38f45da38a6"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a7f8d7623a6fd3492efd9b38f45da38a6">PACK_Q7x4_32x1</a>(v0, v1, v2, v3)</td></tr>
<tr class="memdesc:a7f8d7623a6fd3492efd9b38f45da38a6"><td class="mdescLeft">&#160;</td><td class="mdescRight">definition to pack four 8 bit values.  <a href="#a7f8d7623a6fd3492efd9b38f45da38a6">More...</a><br/></td></tr>
<tr class="separator:a7f8d7623a6fd3492efd9b38f45da38a6"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4cbd428a2b4a4f6b2a6e4219520c7ce0"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>(out_shift)</td></tr>
<tr class="memdesc:a4cbd428a2b4a4f6b2a6e4219520c7ce0"><td class="mdescLeft">&#160;</td><td class="mdescRight">macro for adding rounding offset  <a href="#a4cbd428a2b4a4f6b2a6e4219520c7ce0">More...</a><br/></td></tr>
<tr class="separator:a4cbd428a2b4a4f6b2a6e4219520c7ce0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a518f7e0db18bea6b61a2b88f266aef20"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a518f7e0db18bea6b61a2b88f266aef20">MUL_SAT</a>(a, b)</td></tr>
<tr class="separator:a518f7e0db18bea6b61a2b88f266aef20"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6349818fec8167dff87c3fb7ca81fc1c"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a6349818fec8167dff87c3fb7ca81fc1c">MUL_SAT_MVE</a>(a, b)</td></tr>
<tr class="separator:a6349818fec8167dff87c3fb7ca81fc1c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9d7332bc4331d55ada7ea19407e2a8c3"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a9d7332bc4331d55ada7ea19407e2a8c3">MUL_POW2</a>(a, b)</td></tr>
<tr class="separator:a9d7332bc4331d55ada7ea19407e2a8c3"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7ce5ee6d8839bf541fb4bbdf4ef80eb1"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a7ce5ee6d8839bf541fb4bbdf4ef80eb1">DIV_POW2</a>(a, b)</td></tr>
<tr class="separator:a7ce5ee6d8839bf541fb4bbdf4ef80eb1"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0e4379e9eef514ce88d02b5dfbff256d"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a0e4379e9eef514ce88d02b5dfbff256d">DIV_POW2_MVE</a>(a, b)</td></tr>
<tr class="separator:a0e4379e9eef514ce88d02b5dfbff256d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a97055bb1e8a21ead129caecdfb24cfb1"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a97055bb1e8a21ead129caecdfb24cfb1">EXP_ON_NEG</a>(x)</td></tr>
<tr class="separator:a97055bb1e8a21ead129caecdfb24cfb1"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a82ac477c930f5b05e8f71f6f61e405a8"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a82ac477c930f5b05e8f71f6f61e405a8">ONE_OVER1</a>(x)</td></tr>
<tr class="separator:a82ac477c930f5b05e8f71f6f61e405a8"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4b3b6a6ed8cb224c5bcabd9ad1c94fde"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a4b3b6a6ed8cb224c5bcabd9ad1c94fde">SELECT_IF_NON_ZERO</a>(x)</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
Functions</h2></td></tr>
<tr class="memitem:gae349de4dba8d253c89d45794ccf05680"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__nndata__convert.html#gae349de4dba8d253c89d45794ccf05680">arm_q7_to_q15_no_shift</a> (const q7_t *pSrc, q15_t *pDst, uint32_t blockSize)</td></tr>
<tr class="memdesc:gae349de4dba8d253c89d45794ccf05680"><td class="mdescLeft">&#160;</td><td class="mdescRight">Converts the elements of the q7 vector to q15 vector without left-shift.  <a href="group__nndata__convert.html#gae349de4dba8d253c89d45794ccf05680">More...</a><br/></td></tr>
<tr class="separator:gae349de4dba8d253c89d45794ccf05680"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gae65bde3218210820d789659179e14ce3"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNBasicMath.html#gae65bde3218210820d789659179e14ce3">arm_nn_add_q7</a> (const q7_t *input, q31_t *output, uint32_t block_size)</td></tr>
<tr class="memdesc:gae65bde3218210820d789659179e14ce3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Non-saturating addition of elements of a q7 vector.  <a href="group__NNBasicMath.html#gae65bde3218210820d789659179e14ce3">More...</a><br/></td></tr>
<tr class="separator:gae65bde3218210820d789659179e14ce3"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gaba8fd446d5f54760b406ee63b25d1aee"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__nndata__convert.html#gaba8fd446d5f54760b406ee63b25d1aee">arm_q7_to_q15_reordered_no_shift</a> (const q7_t *pSrc, q15_t *pDst, uint32_t blockSize)</td></tr>
<tr class="memdesc:gaba8fd446d5f54760b406ee63b25d1aee"><td class="mdescLeft">&#160;</td><td class="mdescRight">Converts the elements of the q7 vector to reordered q15 vector without left-shift.  <a href="group__nndata__convert.html#gaba8fd446d5f54760b406ee63b25d1aee">More...</a><br/></td></tr>
<tr class="separator:gaba8fd446d5f54760b406ee63b25d1aee"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gab2d48529ae05b350a015f8f1e6596a31"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__nndata__convert.html#gab2d48529ae05b350a015f8f1e6596a31">arm_q7_to_q15_with_offset</a> (const q7_t *src, q15_t *dst, uint32_t block_size, q15_t offset)</td></tr>
<tr class="memdesc:gab2d48529ae05b350a015f8f1e6596a31"><td class="mdescLeft">&#160;</td><td class="mdescRight">Converts the elements from a q7 vector to a q15 vector with an added offset.  <a href="group__nndata__convert.html#gab2d48529ae05b350a015f8f1e6596a31">More...</a><br/></td></tr>
<tr class="separator:gab2d48529ae05b350a015f8f1e6596a31"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga18e161730cf13bb5ed73de2d3a7cb224"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__nndata__convert.html#ga18e161730cf13bb5ed73de2d3a7cb224">arm_q7_to_q15_reordered_with_offset</a> (const q7_t *src, q15_t *dst, uint32_t block_size, q15_t offset)</td></tr>
<tr class="memdesc:ga18e161730cf13bb5ed73de2d3a7cb224"><td class="mdescLeft">&#160;</td><td class="mdescRight">Converts the elements of the q7 vector to reordered q15 vector with an added offset.  <a href="group__nndata__convert.html#ga18e161730cf13bb5ed73de2d3a7cb224">More...</a><br/></td></tr>
<tr class="separator:ga18e161730cf13bb5ed73de2d3a7cb224"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga379c39e614f1468e1fdb524f51fb6061"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNBasicMath.html#ga379c39e614f1468e1fdb524f51fb6061">arm_nn_accumulate_q7_to_q15</a> (q15_t *dst, const q7_t *src, uint32_t block_size)</td></tr>
<tr class="memdesc:ga379c39e614f1468e1fdb524f51fb6061"><td class="mdescLeft">&#160;</td><td class="mdescRight">Converts the elements from a q7 vector and accumulate to a q15 vector.  <a href="group__NNBasicMath.html#ga379c39e614f1468e1fdb524f51fb6061">More...</a><br/></td></tr>
<tr class="separator:ga379c39e614f1468e1fdb524f51fb6061"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae5f23c6c46b9ce60774d8e3f927bdf2b"><td class="memItemLeft" align="right" valign="top">q7_t *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#ae5f23c6c46b9ce60774d8e3f927bdf2b">arm_nn_depthwise_conv_s8_core</a> (const q7_t *row, const q15_t *col, const uint16_t num_ch, const int32_t *out_shift, const int32_t *out_mult, const int32_t out_offset, const int32_t activation_min, const int32_t activation_max, const uint16_t kernel_size, const int32_t *const output_bias, q7_t *out)</td></tr>
<tr class="memdesc:ae5f23c6c46b9ce60774d8e3f927bdf2b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Depthwise conv on an im2col buffer where the input channel equals output channel.  <a href="#ae5f23c6c46b9ce60774d8e3f927bdf2b">More...</a><br/></td></tr>
<tr class="separator:ae5f23c6c46b9ce60774d8e3f927bdf2b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aaf7a3da870f2c5e86cdef0d3975e3d69"><td class="memItemLeft" align="right" valign="top">q7_t *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#aaf7a3da870f2c5e86cdef0d3975e3d69">arm_nn_mat_mult_s8</a> (const q7_t *input_row, const q7_t *input_col, const uint16_t output_ch, const uint16_t col_batches, const int32_t *output_shift, const int32_t *output_mult, const int32_t out_offset, const int32_t col_offset, const int32_t row_offset, const int16_t out_activation_min, const int16_t out_activation_max, const uint16_t row_len, const int32_t *const bias, q7_t *out)</td></tr>
<tr class="memdesc:aaf7a3da870f2c5e86cdef0d3975e3d69"><td class="mdescLeft">&#160;</td><td class="mdescRight">General Matrix-multiplication function with per-channel requantization.  <a href="#aaf7a3da870f2c5e86cdef0d3975e3d69">More...</a><br/></td></tr>
<tr class="separator:aaf7a3da870f2c5e86cdef0d3975e3d69"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a674055a9eeb7299669c8c4b6532de342"><td class="memItemLeft" align="right" valign="top">q15_t *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a674055a9eeb7299669c8c4b6532de342">arm_nn_mat_mult_kernel_s16</a> (const q7_t *input_a, const q15_t *input_b, const int32_t output_ch, const int32_t *out_shift, const int32_t *out_mult, const int16_t activation_min, const int16_t activation_max, const int32_t num_col_a, const int64_t *const output_bias, q15_t *out_0)</td></tr>
<tr class="memdesc:a674055a9eeb7299669c8c4b6532de342"><td class="mdescLeft">&#160;</td><td class="mdescRight">Matrix-multiplication function for convolution with per-channel requantization for 16 bits convolution.  <a href="#a674055a9eeb7299669c8c4b6532de342">More...</a><br/></td></tr>
<tr class="separator:a674055a9eeb7299669c8c4b6532de342"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga5224f2f155a59498c97f4d62ae726ea5"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNBasicMath.html#ga5224f2f155a59498c97f4d62ae726ea5">arm_nn_mat_mul_core_1x_s8</a> (int32_t row_elements, const int8_t *row_base, const int8_t *col_base, int32_t *const sum_col, int32_t *const output)</td></tr>
<tr class="memdesc:ga5224f2f155a59498c97f4d62ae726ea5"><td class="mdescLeft">&#160;</td><td class="mdescRight">General Matrix-multiplication without requantization for one row &amp; one column.  <a href="group__NNBasicMath.html#ga5224f2f155a59498c97f4d62ae726ea5">More...</a><br/></td></tr>
<tr class="separator:ga5224f2f155a59498c97f4d62ae726ea5"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga356c6870ac897816c016e7b77a3b767a"><td class="memItemLeft" align="right" valign="top">int8_t *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNBasicMath.html#ga356c6870ac897816c016e7b77a3b767a">arm_nn_mat_mul_core_4x_s8</a> (const int32_t row_elements, const int32_t offset, const int8_t *row_base, const int8_t *col_base, const int32_t out_ch, const <a class="el" href="structcmsis__nn__conv__params.html">cmsis_nn_conv_params</a> *conv_params, const <a class="el" href="structcmsis__nn__per__channel__quant__params.html">cmsis_nn_per_channel_quant_params</a> *quant_params, const int32_t *bias, int8_t *output)</td></tr>
<tr class="memdesc:ga356c6870ac897816c016e7b77a3b767a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Matrix-multiplication with requantization &amp; activation function for four rows and one column.  <a href="group__NNBasicMath.html#ga356c6870ac897816c016e7b77a3b767a">More...</a><br/></td></tr>
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<tr class="memitem:ga360cdaa16c399e3bfbeaaa7296c326e1"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNBasicMath.html#ga360cdaa16c399e3bfbeaaa7296c326e1">arm_nn_mat_mult_nt_t_s8</a> (const q7_t *lhs, const q7_t *rhs, const q31_t *bias, q7_t *dst, const int32_t *dst_multipliers, const int32_t *dst_shifts, const int32_t lhs_rows, const int32_t rhs_rows, const int32_t rhs_cols, const int32_t lhs_offset, const int32_t dst_offset, const int32_t activation_min, const int32_t activation_max)</td></tr>
<tr class="memdesc:ga360cdaa16c399e3bfbeaaa7296c326e1"><td class="mdescLeft">&#160;</td><td class="mdescRight">General Matrix-multiplication function with per-channel requantization. This function assumes:  <a href="group__NNBasicMath.html#ga360cdaa16c399e3bfbeaaa7296c326e1">More...</a><br/></td></tr>
<tr class="separator:ga360cdaa16c399e3bfbeaaa7296c326e1"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga140e5a1a4c146c8e90491792ed104d70"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNBasicMath.html#ga140e5a1a4c146c8e90491792ed104d70">arm_nn_vec_mat_mult_t_s8</a> (const q7_t *lhs, const q7_t *rhs, const q31_t *bias, q7_t *dst, const int32_t lhs_offset, const int32_t rhs_offset, const int32_t dst_offset, const int32_t dst_multiplier, const int32_t dst_shift, const int32_t rhs_cols, const int32_t rhs_rows, const int32_t activation_min, const int32_t activation_max, const int32_t address_offset)</td></tr>
<tr class="memdesc:ga140e5a1a4c146c8e90491792ed104d70"><td class="mdescLeft">&#160;</td><td class="mdescRight">s8 Vector by Matrix (transposed) multiplication  <a href="group__NNBasicMath.html#ga140e5a1a4c146c8e90491792ed104d70">More...</a><br/></td></tr>
<tr class="separator:ga140e5a1a4c146c8e90491792ed104d70"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga721f565a0b8015a3d6d46535cadf63d3"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNBasicMath.html#ga721f565a0b8015a3d6d46535cadf63d3">arm_nn_vec_mat_mult_t_s16</a> (const q15_t *lhs, const q7_t *rhs, const q63_t *bias, q15_t *dst, const int32_t dst_multiplier, const int32_t dst_shift, const int32_t rhs_cols, const int32_t rhs_rows, const int32_t activation_min, const int32_t activation_max)</td></tr>
<tr class="memdesc:ga721f565a0b8015a3d6d46535cadf63d3"><td class="mdescLeft">&#160;</td><td class="mdescRight">s16 Vector by Matrix (transposed) multiplication  <a href="group__NNBasicMath.html#ga721f565a0b8015a3d6d46535cadf63d3">More...</a><br/></td></tr>
<tr class="separator:ga721f565a0b8015a3d6d46535cadf63d3"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gac0675e8069a303ce2e8f8ed2a9320859"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNBasicMath.html#gac0675e8069a303ce2e8f8ed2a9320859">arm_nn_vec_mat_mult_t_svdf_s8</a> (const q7_t *lhs, const q7_t *rhs, q15_t *dst, const int32_t lhs_offset, const int32_t rhs_offset, const int32_t scatter_offset, const int32_t dst_multiplier, const int32_t dst_shift, const int32_t rhs_cols, const int32_t rhs_rows, const int32_t activation_min, const int32_t activation_max)</td></tr>
<tr class="memdesc:gac0675e8069a303ce2e8f8ed2a9320859"><td class="mdescLeft">&#160;</td><td class="mdescRight">s8 Vector by Matrix (transposed) multiplication with s16 output  <a href="group__NNBasicMath.html#gac0675e8069a303ce2e8f8ed2a9320859">More...</a><br/></td></tr>
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<tr class="memitem:gaf7e914e84c2fa6bcf9b0727b8c46c250"><td class="memItemLeft" align="right" valign="top">q7_t *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNBasicMath.html#gaf7e914e84c2fa6bcf9b0727b8c46c250">arm_nn_depthwise_conv_nt_t_padded_s8</a> (const q7_t *lhs, const q7_t *rhs, const int32_t lhs_offset, const uint16_t num_ch, const int32_t *out_shift, const int32_t *out_mult, const int32_t out_offset, const int32_t activation_min, const int32_t activation_max, const uint16_t row_x_col, const int32_t *const output_bias, q7_t *out)</td></tr>
<tr class="memdesc:gaf7e914e84c2fa6bcf9b0727b8c46c250"><td class="mdescLeft">&#160;</td><td class="mdescRight">Depthwise convolution of transposed rhs matrix with 4 lhs matrices. To be used in padded cases where the padding is -lhs_offset(Range: int8). Dimensions are the same for lhs and rhs.  <a href="group__NNBasicMath.html#gaf7e914e84c2fa6bcf9b0727b8c46c250">More...</a><br/></td></tr>
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<tr class="memitem:ga7f74841dd08196377cc29ce98deb2c12"><td class="memItemLeft" align="right" valign="top">q7_t *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNBasicMath.html#ga7f74841dd08196377cc29ce98deb2c12">arm_nn_depthwise_conv_nt_t_s8</a> (const q7_t *lhs, const q7_t *rhs, const int32_t lhs_offset, const uint16_t num_ch, const int32_t *out_shift, const int32_t *out_mult, const int32_t out_offset, const int32_t activation_min, const int32_t activation_max, const uint16_t row_x_col, const int32_t *const output_bias, q7_t *out)</td></tr>
<tr class="memdesc:ga7f74841dd08196377cc29ce98deb2c12"><td class="mdescLeft">&#160;</td><td class="mdescRight">Depthwise convolution of transposed rhs matrix with 4 lhs matrices. To be used in non-padded cases. Dimensions are the same for lhs and rhs.  <a href="group__NNBasicMath.html#ga7f74841dd08196377cc29ce98deb2c12">More...</a><br/></td></tr>
<tr class="separator:ga7f74841dd08196377cc29ce98deb2c12"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aefe9c7ce9a65060a244b06dffe74c4b3"><td class="memItemLeft" align="right" valign="top">q7_t *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#aefe9c7ce9a65060a244b06dffe74c4b3">arm_nn_mat_mult_kernel_q7_q15_reordered</a> (const q7_t *pA, const q15_t *pInBuffer, const uint16_t ch_im_out, const uint16_t numCol_A, const uint16_t bias_shift, const uint16_t out_shift, const q7_t *bias, q7_t *pOut)</td></tr>
<tr class="memdesc:aefe9c7ce9a65060a244b06dffe74c4b3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Matrix-multiplication function for convolution with reordered columns.  <a href="#aefe9c7ce9a65060a244b06dffe74c4b3">More...</a><br/></td></tr>
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<tr class="memitem:afdda94a339b76615d3161e9fc63f4d21"><td class="memItemLeft" align="right" valign="top">__STATIC_FORCEINLINE q31_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#afdda94a339b76615d3161e9fc63f4d21">arm_nn_read_q15x2_ia</a> (const q15_t **in_q15)</td></tr>
<tr class="memdesc:afdda94a339b76615d3161e9fc63f4d21"><td class="mdescLeft">&#160;</td><td class="mdescRight">Read 2 q15 elements and post increment pointer.  <a href="#afdda94a339b76615d3161e9fc63f4d21">More...</a><br/></td></tr>
<tr class="separator:afdda94a339b76615d3161e9fc63f4d21"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac9f7be20432a6926ac07c1f44b1b02fe"><td class="memItemLeft" align="right" valign="top">__STATIC_FORCEINLINE q31_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#ac9f7be20432a6926ac07c1f44b1b02fe">arm_nn_read_q7x4_ia</a> (const q7_t **in_q7)</td></tr>
<tr class="memdesc:ac9f7be20432a6926ac07c1f44b1b02fe"><td class="mdescLeft">&#160;</td><td class="mdescRight">Read 4 q7 from q7 pointer and post increment pointer.  <a href="#ac9f7be20432a6926ac07c1f44b1b02fe">More...</a><br/></td></tr>
<tr class="separator:ac9f7be20432a6926ac07c1f44b1b02fe"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9d505dfe68f4486c2327df8a857a89ad"><td class="memItemLeft" align="right" valign="top">__STATIC_FORCEINLINE q31_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a9d505dfe68f4486c2327df8a857a89ad">arm_nn_read_q15x2</a> (const q15_t *in_q15)</td></tr>
<tr class="memdesc:a9d505dfe68f4486c2327df8a857a89ad"><td class="mdescLeft">&#160;</td><td class="mdescRight">Read 2 q15 from q15 pointer.  <a href="#a9d505dfe68f4486c2327df8a857a89ad">More...</a><br/></td></tr>
<tr class="separator:a9d505dfe68f4486c2327df8a857a89ad"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a31fa46f17212fbcb65d2cdae06fc08f5"><td class="memItemLeft" align="right" valign="top">__STATIC_FORCEINLINE q31_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a31fa46f17212fbcb65d2cdae06fc08f5">arm_nn_read_q7x4</a> (const q7_t *in_q7)</td></tr>
<tr class="memdesc:a31fa46f17212fbcb65d2cdae06fc08f5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Read 4 q7 values.  <a href="#a31fa46f17212fbcb65d2cdae06fc08f5">More...</a><br/></td></tr>
<tr class="separator:a31fa46f17212fbcb65d2cdae06fc08f5"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a17553765eecd852dc2f9663575f2a91d"><td class="memItemLeft" align="right" valign="top">__STATIC_FORCEINLINE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a17553765eecd852dc2f9663575f2a91d">arm_nn_write_q7x4_ia</a> (q7_t **in, q31_t value)</td></tr>
<tr class="memdesc:a17553765eecd852dc2f9663575f2a91d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Write four q7 to q7 pointer and increment pointer afterwards.  <a href="#a17553765eecd852dc2f9663575f2a91d">More...</a><br/></td></tr>
<tr class="separator:a17553765eecd852dc2f9663575f2a91d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7018797f0abd9595cc0dc0aedbb5f17e"><td class="memItemLeft" align="right" valign="top">__STATIC_FORCEINLINE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a7018797f0abd9595cc0dc0aedbb5f17e">arm_memset_q7</a> (q7_t *dst, const q7_t val, uint32_t block_size)</td></tr>
<tr class="memdesc:a7018797f0abd9595cc0dc0aedbb5f17e"><td class="mdescLeft">&#160;</td><td class="mdescRight">memset optimized for MVE  <a href="#a7018797f0abd9595cc0dc0aedbb5f17e">More...</a><br/></td></tr>
<tr class="separator:a7018797f0abd9595cc0dc0aedbb5f17e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga08f8340aa6533271b3aa6d211614fe22"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNBasicMath.html#ga08f8340aa6533271b3aa6d211614fe22">arm_nn_mult_q15</a> (q15_t *pSrcA, q15_t *pSrcB, q15_t *pDst, const uint16_t out_shift, uint32_t blockSize)</td></tr>
<tr class="memdesc:ga08f8340aa6533271b3aa6d211614fe22"><td class="mdescLeft">&#160;</td><td class="mdescRight">q7 vector multiplication with variable output shifts  <a href="group__NNBasicMath.html#ga08f8340aa6533271b3aa6d211614fe22">More...</a><br/></td></tr>
<tr class="separator:ga08f8340aa6533271b3aa6d211614fe22"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gad46c9ab012cceda8ce6681c687a58c70"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNBasicMath.html#gad46c9ab012cceda8ce6681c687a58c70">arm_nn_mult_q7</a> (q7_t *pSrcA, q7_t *pSrcB, q7_t *pDst, const uint16_t out_shift, uint32_t blockSize)</td></tr>
<tr class="memdesc:gad46c9ab012cceda8ce6681c687a58c70"><td class="mdescLeft">&#160;</td><td class="mdescRight">q7 vector multiplication with variable output shifts  <a href="group__NNBasicMath.html#gad46c9ab012cceda8ce6681c687a58c70">More...</a><br/></td></tr>
<tr class="separator:gad46c9ab012cceda8ce6681c687a58c70"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2da69a593037381cd149616f2fd57cce"><td class="memItemLeft" align="right" valign="top">q7_t *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a2da69a593037381cd149616f2fd57cce">arm_nn_mat_mult_kernel_s8_s16</a> (const q7_t *input_a, const q15_t *input_b, const uint16_t output_ch, const int32_t *out_shift, const int32_t *out_mult, const int32_t out_offset, const int16_t activation_min, const int16_t activation_max, const uint16_t num_col_a, const int32_t *const output_bias, q7_t *out_0)</td></tr>
<tr class="memdesc:a2da69a593037381cd149616f2fd57cce"><td class="mdescLeft">&#160;</td><td class="mdescRight">Matrix-multiplication function for convolution with per-channel requantization.  <a href="#a2da69a593037381cd149616f2fd57cce">More...</a><br/></td></tr>
<tr class="separator:a2da69a593037381cd149616f2fd57cce"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gaa5632ba67b623b5dff0c4a2d8e2a9a3a"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Softmax.html#gaa5632ba67b623b5dff0c4a2d8e2a9a3a">arm_nn_softmax_common_s8</a> (const int8_t *input, const int32_t num_rows, const int32_t row_size, const int32_t mult, const int32_t shift, const int32_t diff_min, const bool int16_output, void *output)</td></tr>
<tr class="memdesc:gaa5632ba67b623b5dff0c4a2d8e2a9a3a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Common softmax function for s8 input and s8 or s16 output.  <a href="group__Softmax.html#gaa5632ba67b623b5dff0c4a2d8e2a9a3a">More...</a><br/></td></tr>
<tr class="separator:gaa5632ba67b623b5dff0c4a2d8e2a9a3a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa052ac441bc3ea52f51de9c2831b02d7"><td class="memItemLeft" align="right" valign="top">__STATIC_FORCEINLINE q31_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#aa052ac441bc3ea52f51de9c2831b02d7">arm_nn_doubling_high_mult</a> (const q31_t m1, const q31_t m2)</td></tr>
<tr class="memdesc:aa052ac441bc3ea52f51de9c2831b02d7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Saturating doubling high multiply. Result matches NEON instruction VQRDMULH.  <a href="#aa052ac441bc3ea52f51de9c2831b02d7">More...</a><br/></td></tr>
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<tr class="memitem:a4e5183e2400227aafc91fb796fe99a6d"><td class="memItemLeft" align="right" valign="top">__STATIC_FORCEINLINE q31_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a4e5183e2400227aafc91fb796fe99a6d">arm_nn_doubling_high_mult_no_sat</a> (const q31_t m1, const q31_t m2)</td></tr>
<tr class="memdesc:a4e5183e2400227aafc91fb796fe99a6d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Doubling high multiply without saturation. This is intended for requantization where the scale is a positive integer.  <a href="#a4e5183e2400227aafc91fb796fe99a6d">More...</a><br/></td></tr>
<tr class="separator:a4e5183e2400227aafc91fb796fe99a6d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab6dbc2fd53fae3ccdd1d0d70c8d3b491"><td class="memItemLeft" align="right" valign="top">__STATIC_FORCEINLINE q31_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#ab6dbc2fd53fae3ccdd1d0d70c8d3b491">arm_nn_divide_by_power_of_two</a> (const q31_t dividend, const q31_t exponent)</td></tr>
<tr class="memdesc:ab6dbc2fd53fae3ccdd1d0d70c8d3b491"><td class="mdescLeft">&#160;</td><td class="mdescRight">Rounding divide by power of two.  <a href="#ab6dbc2fd53fae3ccdd1d0d70c8d3b491">More...</a><br/></td></tr>
<tr class="separator:ab6dbc2fd53fae3ccdd1d0d70c8d3b491"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6a13b7a567485da5fc7f0d311318886d"><td class="memItemLeft" align="right" valign="top">__STATIC_FORCEINLINE q31_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a6a13b7a567485da5fc7f0d311318886d">arm_nn_requantize</a> (const q31_t val, const q31_t multiplier, const q31_t shift)</td></tr>
<tr class="memdesc:a6a13b7a567485da5fc7f0d311318886d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Requantize a given value.  <a href="#a6a13b7a567485da5fc7f0d311318886d">More...</a><br/></td></tr>
<tr class="separator:a6a13b7a567485da5fc7f0d311318886d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa03e369b608572b80a4e56e8298a21c0"><td class="memItemLeft" align="right" valign="top">__STATIC_FORCEINLINE q31_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#aa03e369b608572b80a4e56e8298a21c0">arm_nn_requantize_s64</a> (const q63_t val, const q31_t reduced_multiplier, const q31_t shift)</td></tr>
<tr class="memdesc:aa03e369b608572b80a4e56e8298a21c0"><td class="mdescLeft">&#160;</td><td class="mdescRight">Requantize a given 64 bit value.  <a href="#aa03e369b608572b80a4e56e8298a21c0">More...</a><br/></td></tr>
<tr class="separator:aa03e369b608572b80a4e56e8298a21c0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a085459f6280c8f586ddd64998dece532"><td class="memItemLeft" align="right" valign="top">__STATIC_FORCEINLINE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a085459f6280c8f586ddd64998dece532">arm_memcpy_q7</a> (q7_t *__RESTRICT dst, const q7_t *__RESTRICT src, uint32_t block_size)</td></tr>
<tr class="memdesc:a085459f6280c8f586ddd64998dece532"><td class="mdescLeft">&#160;</td><td class="mdescRight">memcpy optimized for MVE  <a href="#a085459f6280c8f586ddd64998dece532">More...</a><br/></td></tr>
<tr class="separator:a085459f6280c8f586ddd64998dece532"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa278c8c2ac1e8bd47fb377fa7cb77553"><td class="memItemLeft" align="right" valign="top">__STATIC_FORCEINLINE int32_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#aa278c8c2ac1e8bd47fb377fa7cb77553">arm_nn_exp_on_negative_values</a> (int32_t val)</td></tr>
<tr class="separator:aa278c8c2ac1e8bd47fb377fa7cb77553"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6caa6da5a6df5ebedf5efc49a56a42dd"><td class="memItemLeft" align="right" valign="top">__STATIC_FORCEINLINE q31_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a6caa6da5a6df5ebedf5efc49a56a42dd">arm_nn_mult_by_power_of_two</a> (const int32_t val, const int32_t exp)</td></tr>
<tr class="separator:a6caa6da5a6df5ebedf5efc49a56a42dd"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad48fdafd9bff64093b2105c0224994e4"><td class="memItemLeft" align="right" valign="top">__STATIC_FORCEINLINE int32_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#ad48fdafd9bff64093b2105c0224994e4">arm_nn_one_over_one_plus_x_for_x_in_0_1</a> (int32_t val)</td></tr>
<tr class="separator:ad48fdafd9bff64093b2105c0224994e4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9477fb2f82284ac4fe20b2efb721f5f5"><td class="memItemLeft" align="right" valign="top">__STATIC_FORCEINLINE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a9477fb2f82284ac4fe20b2efb721f5f5">arm_nn_write_q15x2_ia</a> (q15_t **dest_q15, q31_t src_q31)</td></tr>
<tr class="memdesc:a9477fb2f82284ac4fe20b2efb721f5f5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Write 2 q15 elements and post increment pointer.  <a href="#a9477fb2f82284ac4fe20b2efb721f5f5">More...</a><br/></td></tr>
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<h2 class="groupheader">Macro Definition Documentation</h2>
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          <td class="memname">#define CLAMP</td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">x, </td>
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          <td class="paramkey"></td>
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          <td class="paramtype">&#160;</td>
          <td class="paramname">h, </td>
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<p>Referenced by <a class="el" href="group__Softmax.html#gaa5632ba67b623b5dff0c4a2d8e2a9a3a">arm_nn_softmax_common_s8()</a>, <a class="el" href="group__Softmax.html#gaf309cdd53978a85a39c9bfdc476aea17">arm_softmax_s8()</a>, <a class="el" href="group__Softmax.html#gaa1627ed96bd597a8046d00689f077dce">arm_softmax_u8()</a>, <a class="el" href="group__SVDF.html#gafbf5ad3c931103dff943fc39f8f9d519">arm_svdf_s8()</a>, and <a class="el" href="group__SVDF.html#ga3dc1b94f56e80e5b80b353ce8d9650b3">arm_svdf_state_s16_s8()</a>.</p>

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          <td class="memname">#define DIV_POW2</td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">a, </td>
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          <td class="paramkey"></td>
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          <td class="paramtype">&#160;</td>
          <td class="paramname">b&#160;</td>
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          <td></td>
          <td>)</td>
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<p>Referenced by <a class="el" href="arm__nnsupportfunctions_8h.html#aa278c8c2ac1e8bd47fb377fa7cb77553">arm_nn_exp_on_negative_values()</a>, <a class="el" href="group__Softmax.html#gaa5632ba67b623b5dff0c4a2d8e2a9a3a">arm_nn_softmax_common_s8()</a>, <a class="el" href="group__Softmax.html#gaf309cdd53978a85a39c9bfdc476aea17">arm_softmax_s8()</a>, and <a class="el" href="group__Softmax.html#gaa1627ed96bd597a8046d00689f077dce">arm_softmax_u8()</a>.</p>

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          <td class="memname">#define DIV_POW2_MVE</td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">a, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">b&#160;</td>
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        <tr>
          <td></td>
          <td>)</td>
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<p>Referenced by <a class="el" href="group__Softmax.html#gaf309cdd53978a85a39c9bfdc476aea17">arm_softmax_s8()</a>.</p>

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          <td class="memname">#define EXP_ON_NEG</td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">x</td><td>)</td>
          <td></td>
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<p>Referenced by <a class="el" href="group__Softmax.html#gaa5632ba67b623b5dff0c4a2d8e2a9a3a">arm_nn_softmax_common_s8()</a>, <a class="el" href="group__Softmax.html#gaf309cdd53978a85a39c9bfdc476aea17">arm_softmax_s8()</a>, and <a class="el" href="group__Softmax.html#gaa1627ed96bd597a8046d00689f077dce">arm_softmax_u8()</a>.</p>

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          <td class="memname">#define LEFT_SHIFT</td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">_shift</td><td>)</td>
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<p>Referenced by <a class="el" href="arm__nnsupportfunctions_8h.html#a6a13b7a567485da5fc7f0d311318886d">arm_nn_requantize()</a>.</p>

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          <td class="memname">#define MASK_IF_NON_ZERO</td>
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          <td class="paramtype">&#160;</td>
          <td class="paramname">x</td><td>)</td>
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<p>Referenced by <a class="el" href="arm__nnsupportfunctions_8h.html#a6caa6da5a6df5ebedf5efc49a56a42dd">arm_nn_mult_by_power_of_two()</a>.</p>

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          <td class="memname">#define MASK_IF_ZERO</td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">x</td><td>)</td>
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<p>Referenced by <a class="el" href="arm__nnsupportfunctions_8h.html#aa278c8c2ac1e8bd47fb377fa7cb77553">arm_nn_exp_on_negative_values()</a>.</p>

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          <td class="memname">#define MAX</td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">A, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">B&#160;</td>
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        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
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<p>Referenced by <a class="el" href="group__NNConv.html#ga43c4623c2553d09a59385aabe971d75d">__attribute__()</a>, <a class="el" href="group__Pooling.html#ga8f2a6e5c4717f05dde9c7244e0987c31">arm_avgpool_s16()</a>, <a class="el" href="group__Pooling.html#gafa69cdb8a711ddef477d330204fa412c">arm_avgpool_s8()</a>, <a class="el" href="group__NNConv.html#ga5b85b56e06e563c05b08ad6ba7423e1d">arm_convolve_1_x_n_s8()</a>, <a class="el" href="group__NNConv.html#ga53608c814d9b8a458f4d87f8f40051b7">arm_convolve_1x1_s8_fast()</a>, <a class="el" href="group__NNConv.html#gadda1e5325d511d56716111548c787a1c">arm_convolve_fast_s16()</a>, <a class="el" href="group__NNConv.html#gaf3e58798b12fa230d6a6487887aa13bf">arm_convolve_s16()</a>, <a class="el" href="group__NNConv.html#ga34bb5c05805ca7d5ea9681fcad8a711d">arm_convolve_s8()</a>, <a class="el" href="group__NNConv.html#ga558337f134d84dac2c312c5175bd67de">arm_depthwise_conv_3x3_s8()</a>, <a class="el" href="group__NNConv.html#gab9dc832c407c0fe0f4d6fbb063e85e97">arm_depthwise_conv_s8_opt()</a>, <a class="el" href="group__BasicMath.html#ga9e988362b8860a0108e62caf03e19b45">arm_elementwise_add_s16()</a>, <a class="el" href="group__BasicMath.html#ga19f5c245db9ecfb7918fe1fc4f16af2b">arm_elementwise_add_s8()</a>, <a class="el" href="group__BasicMath.html#gab38457329632897eb6efedf9dfcef1e4">arm_elementwise_mul_s16()</a>, <a class="el" href="group__BasicMath.html#ga345f342f6368a715ca3816c3cc3b7f70">arm_elementwise_mul_s8()</a>, <a class="el" href="group__Pooling.html#ga8bc3b3dd1fcf5ac462aa28bdddc0e3bb">arm_max_pool_s16()</a>, <a class="el" href="group__Pooling.html#ga3628978b2ab0b43d8f8723118c12acc4">arm_max_pool_s8()</a>, <a class="el" href="arm__nn__mat__mul__kernel__s16_8c.html#a674055a9eeb7299669c8c4b6532de342">arm_nn_mat_mult_kernel_s16()</a>, <a class="el" href="arm__nn__mat__mult__kernel__s8__s16_8c.html#a2da69a593037381cd149616f2fd57cce">arm_nn_mat_mult_kernel_s8_s16()</a>, <a class="el" href="group__NNBasicMath.html#ga360cdaa16c399e3bfbeaaa7296c326e1">arm_nn_mat_mult_nt_t_s8()</a>, <a class="el" href="arm__nn__mat__mult__s8_8c.html#a35a57ea2ae587628c8cc32fdb6e455d1">arm_nn_mat_mult_s8()</a>, <a class="el" href="group__Softmax.html#gaa5632ba67b623b5dff0c4a2d8e2a9a3a">arm_nn_softmax_common_s8()</a>, <a class="el" href="group__NNBasicMath.html#ga721f565a0b8015a3d6d46535cadf63d3">arm_nn_vec_mat_mult_t_s16()</a>, <a class="el" href="group__NNBasicMath.html#ga140e5a1a4c146c8e90491792ed104d70">arm_nn_vec_mat_mult_t_s8()</a>, <a class="el" href="group__NNBasicMath.html#gac0675e8069a303ce2e8f8ed2a9320859">arm_nn_vec_mat_mult_t_svdf_s8()</a>, <a class="el" href="group__Acti.html#ga01a7a7c17f0cd544e29c4752daeecdc3">arm_relu6_s8()</a>, <a class="el" href="group__Softmax.html#ga3bc3ad13727a8a9d2cf7d0fba1209879">arm_softmax_s16()</a>, <a class="el" href="group__Softmax.html#gaa1627ed96bd597a8046d00689f077dce">arm_softmax_u8()</a>, <a class="el" href="arm__max__pool__s16_8c.html#a464e5d2cf70e82eb27be23b94a793cf6">clamp_output()</a>, <a class="el" href="group__NNConv.html#gadde7c225c29269334cd821ead685361d">depthwise_conv_s16_generic_s16()</a>, <a class="el" href="group__NNConv.html#ga8a0fd229483032bfe41183843e17f8f6">depthwise_conv_s8_generic()</a>, <a class="el" href="group__NNConv.html#ga06d7783f6788faad5165fd0ae583bc59">depthwise_conv_s8_mult_4()</a>, <a class="el" href="group__NNConv.html#gab98fd934700dff7667131744c8972d91">depthwise_conv_u8_generic()</a>, and <a class="el" href="group__NNConv.html#ga4c54b5bdb38fc20c2167bdfa289f1a2b">depthwise_conv_u8_mult_4()</a>.</p>

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          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">A, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">B&#160;</td>
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          <td></td>
          <td>)</td>
          <td></td><td></td>
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<p>Referenced by <a class="el" href="group__NNConv.html#ga43c4623c2553d09a59385aabe971d75d">__attribute__()</a>, <a class="el" href="group__Pooling.html#ga8f2a6e5c4717f05dde9c7244e0987c31">arm_avgpool_s16()</a>, <a class="el" href="group__Pooling.html#gafa69cdb8a711ddef477d330204fa412c">arm_avgpool_s8()</a>, <a class="el" href="group__NNConv.html#ga5b85b56e06e563c05b08ad6ba7423e1d">arm_convolve_1_x_n_s8()</a>, <a class="el" href="group__NNConv.html#ga53608c814d9b8a458f4d87f8f40051b7">arm_convolve_1x1_s8_fast()</a>, <a class="el" href="group__NNConv.html#gadda1e5325d511d56716111548c787a1c">arm_convolve_fast_s16()</a>, <a class="el" href="group__NNConv.html#gaf3e58798b12fa230d6a6487887aa13bf">arm_convolve_s16()</a>, <a class="el" href="group__NNConv.html#ga34bb5c05805ca7d5ea9681fcad8a711d">arm_convolve_s8()</a>, <a class="el" href="group__NNConv.html#ga558337f134d84dac2c312c5175bd67de">arm_depthwise_conv_3x3_s8()</a>, <a class="el" href="group__NNConv.html#gab9dc832c407c0fe0f4d6fbb063e85e97">arm_depthwise_conv_s8_opt()</a>, <a class="el" href="group__BasicMath.html#ga9e988362b8860a0108e62caf03e19b45">arm_elementwise_add_s16()</a>, <a class="el" href="group__BasicMath.html#ga19f5c245db9ecfb7918fe1fc4f16af2b">arm_elementwise_add_s8()</a>, <a class="el" href="group__BasicMath.html#gab38457329632897eb6efedf9dfcef1e4">arm_elementwise_mul_s16()</a>, <a class="el" href="group__BasicMath.html#ga345f342f6368a715ca3816c3cc3b7f70">arm_elementwise_mul_s8()</a>, <a class="el" href="group__Pooling.html#ga8bc3b3dd1fcf5ac462aa28bdddc0e3bb">arm_max_pool_s16()</a>, <a class="el" href="group__Pooling.html#ga3628978b2ab0b43d8f8723118c12acc4">arm_max_pool_s8()</a>, <a class="el" href="arm__nn__mat__mul__kernel__s16_8c.html#a674055a9eeb7299669c8c4b6532de342">arm_nn_mat_mult_kernel_s16()</a>, <a class="el" href="arm__nn__mat__mult__kernel__s8__s16_8c.html#a2da69a593037381cd149616f2fd57cce">arm_nn_mat_mult_kernel_s8_s16()</a>, <a class="el" href="group__NNBasicMath.html#ga360cdaa16c399e3bfbeaaa7296c326e1">arm_nn_mat_mult_nt_t_s8()</a>, <a class="el" href="arm__nn__mat__mult__s8_8c.html#a35a57ea2ae587628c8cc32fdb6e455d1">arm_nn_mat_mult_s8()</a>, <a class="el" href="group__NNBasicMath.html#ga721f565a0b8015a3d6d46535cadf63d3">arm_nn_vec_mat_mult_t_s16()</a>, <a class="el" href="group__NNBasicMath.html#ga140e5a1a4c146c8e90491792ed104d70">arm_nn_vec_mat_mult_t_s8()</a>, <a class="el" href="group__NNBasicMath.html#gac0675e8069a303ce2e8f8ed2a9320859">arm_nn_vec_mat_mult_t_svdf_s8()</a>, <a class="el" href="group__Acti.html#ga01a7a7c17f0cd544e29c4752daeecdc3">arm_relu6_s8()</a>, <a class="el" href="group__Softmax.html#ga3bc3ad13727a8a9d2cf7d0fba1209879">arm_softmax_s16()</a>, <a class="el" href="arm__max__pool__s16_8c.html#a464e5d2cf70e82eb27be23b94a793cf6">clamp_output()</a>, <a class="el" href="group__NNConv.html#gadde7c225c29269334cd821ead685361d">depthwise_conv_s16_generic_s16()</a>, <a class="el" href="group__NNConv.html#ga8a0fd229483032bfe41183843e17f8f6">depthwise_conv_s8_generic()</a>, <a class="el" href="group__NNConv.html#ga06d7783f6788faad5165fd0ae583bc59">depthwise_conv_s8_mult_4()</a>, <a class="el" href="group__NNConv.html#gab98fd934700dff7667131744c8972d91">depthwise_conv_u8_generic()</a>, and <a class="el" href="group__NNConv.html#ga4c54b5bdb38fc20c2167bdfa289f1a2b">depthwise_conv_u8_mult_4()</a>.</p>

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          <td class="memname">#define MUL_POW2</td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">a, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">b&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">

<p>Referenced by <a class="el" href="arm__nnsupportfunctions_8h.html#ad48fdafd9bff64093b2105c0224994e4">arm_nn_one_over_one_plus_x_for_x_in_0_1()</a>.</p>

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<a class="anchor" id="a518f7e0db18bea6b61a2b88f266aef20"></a>
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          <td class="memname">#define MUL_SAT</td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">a, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">b&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
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<p>Referenced by <a class="el" href="arm__nnsupportfunctions_8h.html#aa278c8c2ac1e8bd47fb377fa7cb77553">arm_nn_exp_on_negative_values()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#ad48fdafd9bff64093b2105c0224994e4">arm_nn_one_over_one_plus_x_for_x_in_0_1()</a>, <a class="el" href="group__Softmax.html#gaa5632ba67b623b5dff0c4a2d8e2a9a3a">arm_nn_softmax_common_s8()</a>, <a class="el" href="group__Softmax.html#gaf309cdd53978a85a39c9bfdc476aea17">arm_softmax_s8()</a>, and <a class="el" href="group__Softmax.html#gaa1627ed96bd597a8046d00689f077dce">arm_softmax_u8()</a>.</p>

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<a class="anchor" id="a6349818fec8167dff87c3fb7ca81fc1c"></a>
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          <td class="memname">#define MUL_SAT_MVE</td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">a, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">b&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
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<p>Referenced by <a class="el" href="group__Softmax.html#gaf309cdd53978a85a39c9bfdc476aea17">arm_softmax_s8()</a>.</p>

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          <td class="memname">#define NN_ROUND</td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">out_shift</td><td>)</td>
          <td></td>
        </tr>
      </table>
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<p>Referenced by <a class="el" href="group__NNConv.html#ga110adcfdaab356c750c6270aa5e05f29">arm_convolve_1x1_HWC_q7_fast_nonsquare()</a>, <a class="el" href="group__NNConv.html#ga55701f213b198084b52eab53097f1f58">arm_convolve_HWC_q15_basic()</a>, <a class="el" href="group__NNConv.html#ga4efb1ccbbaa7dd936961989dcb443f50">arm_convolve_HWC_q15_fast()</a>, <a class="el" href="group__NNConv.html#ga614ec3b71eb96e29952ec3f09e7b9c3c">arm_convolve_HWC_q15_fast_nonsquare()</a>, <a class="el" href="group__NNConv.html#ga210ae8d8fc1d12ee15b41f1fa6947681">arm_convolve_HWC_q7_basic()</a>, <a class="el" href="group__NNConv.html#ga4501fa22c0836002aa47ccc313dce252">arm_convolve_HWC_q7_basic_nonsquare()</a>, <a class="el" href="group__NNConv.html#gae00d3c1285907d59657369fc98bcc83f">arm_convolve_HWC_q7_fast()</a>, <a class="el" href="group__NNConv.html#gabc6d6b991024e9e5c5cdbd7489de88ef">arm_convolve_HWC_q7_fast_nonsquare()</a>, <a class="el" href="group__NNConv.html#ga98f2ead67d7cbdf558b0cd8a3b8fc148">arm_convolve_HWC_q7_RGB()</a>, <a class="el" href="group__NNConv.html#gad3d21b3bc6dbd6f3b97d01104349cb0a">arm_depthwise_separable_conv_HWC_q7()</a>, <a class="el" href="group__NNConv.html#ga32ac508c5467813a84f74f96655dc697">arm_depthwise_separable_conv_HWC_q7_nonsquare()</a>, <a class="el" href="group__FC.html#ga4a1521e7532a1e62d71f3b12762016e2">arm_fully_connected_mat_q7_vec_q15()</a>, <a class="el" href="group__FC.html#gae3857bb6375692e81dde8cbd70adec08">arm_fully_connected_mat_q7_vec_q15_opt()</a>, <a class="el" href="group__FC.html#gaac666c212b209e636c2369dd5c75d0dc">arm_fully_connected_q15()</a>, <a class="el" href="group__FC.html#ga062912078da113f5dd2004fd919a0ff2">arm_fully_connected_q15_opt()</a>, <a class="el" href="group__FC.html#ga8b7e0c2e989e8c75f0dc789f3115323d">arm_fully_connected_q7()</a>, <a class="el" href="group__FC.html#gaf82b71ef472a38f8fc9ac414d9d07e67">arm_fully_connected_q7_opt()</a>, <a class="el" href="arm__nn__mat__mult__kernel__q7__q15_8c.html#abc4fb258cfe8500ee68e812a293a80a3">arm_nn_mat_mult_kernel_q7_q15()</a>, <a class="el" href="arm__nn__mat__mult__kernel__q7__q15__reordered_8c.html#aefe9c7ce9a65060a244b06dffe74c4b3">arm_nn_mat_mult_kernel_q7_q15_reordered()</a>, <a class="el" href="group__NNBasicMath.html#ga08f8340aa6533271b3aa6d211614fe22">arm_nn_mult_q15()</a>, and <a class="el" href="group__NNBasicMath.html#gad46c9ab012cceda8ce6681c687a58c70">arm_nn_mult_q7()</a>.</p>

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          <td class="memname">#define ONE_OVER1</td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">x</td><td>)</td>
          <td></td>
        </tr>
      </table>
</div><div class="memdoc">

<p>Referenced by <a class="el" href="group__Softmax.html#gaa5632ba67b623b5dff0c4a2d8e2a9a3a">arm_nn_softmax_common_s8()</a>, <a class="el" href="group__Softmax.html#gaf309cdd53978a85a39c9bfdc476aea17">arm_softmax_s8()</a>, and <a class="el" href="group__Softmax.html#gaa1627ed96bd597a8046d00689f077dce">arm_softmax_u8()</a>.</p>

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          <td class="memname">#define PACK_Q7x4_32x1</td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">v0, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">v1, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">v2, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">v3&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">

<p>Referenced by <a class="el" href="group__BasicMath.html#ga19f5c245db9ecfb7918fe1fc4f16af2b">arm_elementwise_add_s8()</a>, and <a class="el" href="group__BasicMath.html#ga345f342f6368a715ca3816c3cc3b7f70">arm_elementwise_mul_s8()</a>.</p>

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          <td class="memname">#define REDUCE_MULTIPLIER</td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">_mult</td><td>)</td>
          <td></td>
        </tr>
      </table>
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<p>Referenced by <a class="el" href="group__NNConv.html#ga43c4623c2553d09a59385aabe971d75d">__attribute__()</a>, <a class="el" href="group__NNConv.html#gadda1e5325d511d56716111548c787a1c">arm_convolve_fast_s16()</a>, <a class="el" href="group__NNConv.html#gaf3e58798b12fa230d6a6487887aa13bf">arm_convolve_s16()</a>, <a class="el" href="group__FC.html#ga22aa22fe80e323429e8ac6aaeef878e8">arm_fully_connected_s16()</a>, <a class="el" href="arm__nn__mat__mul__kernel__s16_8c.html#a674055a9eeb7299669c8c4b6532de342">arm_nn_mat_mult_kernel_s16()</a>, and <a class="el" href="group__NNConv.html#gadde7c225c29269334cd821ead685361d">depthwise_conv_s16_generic_s16()</a>.</p>

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          <td class="memname">#define RIGHT_SHIFT</td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">_shift</td><td>)</td>
          <td></td>
        </tr>
      </table>
</div><div class="memdoc">

<p>Referenced by <a class="el" href="arm__nnsupportfunctions_8h.html#a6a13b7a567485da5fc7f0d311318886d">arm_nn_requantize()</a>.</p>

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          <td class="memname">#define SELECT_IF_NON_ZERO</td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">x</td><td>)</td>
          <td></td>
        </tr>
      </table>
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<p>Referenced by <a class="el" href="arm__nnsupportfunctions_8h.html#aa278c8c2ac1e8bd47fb377fa7cb77553">arm_nn_exp_on_negative_values()</a>.</p>

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<a class="anchor" id="a6f69b7e95b80e10a5f5d2ddbbfbc301f"></a>
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          <td class="memname">#define SELECT_USING_MASK</td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">mask, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">a, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname">b&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
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<p>Referenced by <a class="el" href="arm__nnsupportfunctions_8h.html#aa278c8c2ac1e8bd47fb377fa7cb77553">arm_nn_exp_on_negative_values()</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a6caa6da5a6df5ebedf5efc49a56a42dd">arm_nn_mult_by_power_of_two()</a>.</p>

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<h2 class="groupheader">Function Documentation</h2>
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          <td class="memname">__STATIC_FORCEINLINE void arm_memcpy_q7 </td>
          <td>(</td>
          <td class="paramtype">q7_t *__RESTRICT&#160;</td>
          <td class="paramname"><em>dst</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const q7_t *__RESTRICT&#160;</td>
          <td class="paramname"><em>src</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>block_size</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in,out]</td><td class="paramname">dst</td><td>Destination pointer </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">src</td><td>Source pointer. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">block_size</td><td>Number of bytes to copy. </td></tr>
  </table>
  </dd>
</dl>

<p>Referenced by <a class="el" href="group__Concatenation.html#gaf2ec7d439726caa96e0b3dc989b34d64">arm_concatenation_s8_w()</a>, <a class="el" href="group__Concatenation.html#gac06ac3c87cad1cfb14aa24b19124fcfd">arm_concatenation_s8_x()</a>, <a class="el" href="group__Concatenation.html#gaf0b76b039f66f34ec99503193a015ff6">arm_concatenation_s8_y()</a>, <a class="el" href="group__Concatenation.html#ga9ae180a44e18ee58936dba1e0564560b">arm_concatenation_s8_z()</a>, <a class="el" href="group__NNConv.html#gadda1e5325d511d56716111548c787a1c">arm_convolve_fast_s16()</a>, <a class="el" href="group__NNConv.html#ga98f2ead67d7cbdf558b0cd8a3b8fc148">arm_convolve_HWC_q7_RGB()</a>, <a class="el" href="group__NNConv.html#ga34bb5c05805ca7d5ea9681fcad8a711d">arm_convolve_s8()</a>, <a class="el" href="group__NNConv.html#gab9dc832c407c0fe0f4d6fbb063e85e97">arm_depthwise_conv_s8_opt()</a>, <a class="el" href="group__Pooling.html#ga3628978b2ab0b43d8f8723118c12acc4">arm_max_pool_s8()</a>, and <a class="el" href="group__Reshape.html#ga8cc1dfb7b2b083935a97dc4f24d0533c">arm_reshape_s8()</a>.</p>

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<a class="anchor" id="a7018797f0abd9595cc0dc0aedbb5f17e"></a>
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          <td class="memname">__STATIC_FORCEINLINE void arm_memset_q7 </td>
          <td>(</td>
          <td class="paramtype">q7_t *&#160;</td>
          <td class="paramname"><em>dst</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const q7_t&#160;</td>
          <td class="paramname"><em>val</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>block_size</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in,out]</td><td class="paramname">dst</td><td>Destination pointer </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">val</td><td>Value to set </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">block_size</td><td>Number of bytes to copy. </td></tr>
  </table>
  </dd>
</dl>

<p>Referenced by <a class="el" href="group__NNConv.html#gadda1e5325d511d56716111548c787a1c">arm_convolve_fast_s16()</a>, <a class="el" href="group__NNConv.html#ga98f2ead67d7cbdf558b0cd8a3b8fc148">arm_convolve_HWC_q7_RGB()</a>, and <a class="el" href="group__NNConv.html#gab9dc832c407c0fe0f4d6fbb063e85e97">arm_depthwise_conv_s8_opt()</a>.</p>

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          <td class="memname">q7_t* arm_nn_depthwise_conv_s8_core </td>
          <td>(</td>
          <td class="paramtype">const q7_t *&#160;</td>
          <td class="paramname"><em>row</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const q15_t *&#160;</td>
          <td class="paramname"><em>col</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const uint16_t&#160;</td>
          <td class="paramname"><em>num_ch</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t *&#160;</td>
          <td class="paramname"><em>out_shift</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t *&#160;</td>
          <td class="paramname"><em>out_mult</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t&#160;</td>
          <td class="paramname"><em>out_offset</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t&#160;</td>
          <td class="paramname"><em>activation_min</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t&#160;</td>
          <td class="paramname"><em>activation_max</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const uint16_t&#160;</td>
          <td class="paramname"><em>kernel_size</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t *const&#160;</td>
          <td class="paramname"><em>output_bias</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">q7_t *&#160;</td>
          <td class="paramname"><em>out</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">row</td><td>pointer to row </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">col</td><td>pointer to im2col buffer, always consists of 2 columns. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">num_ch</td><td>number of channels </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>pointer to per output channel requantization shift parameter. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">out_mult</td><td>pointer to per output channel requantization multiplier parameter. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">out_offset</td><td>output tensor offset. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">activation_min</td><td>minimum value to clamp the output to. Range : int8 </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">activation_max</td><td>maximum value to clamp the output to. Range : int8 </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">kernel_size</td><td>number of elements in one column. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">output_bias</td><td>per output channel bias. Range : int32 </td></tr>
    <tr><td class="paramdir">[out]</td><td class="paramname">out</td><td>pointer to output </td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>The function returns one of the two<ol type="1">
<li>The incremented output pointer for a successful operation or</li>
<li>NULL if implementation is not available.</li>
</ol>
</dd></dl>
<p>Supported framework: TensorFlow Lite micro. </p>

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          <td class="memname">__STATIC_FORCEINLINE q31_t arm_nn_divide_by_power_of_two </td>
          <td>(</td>
          <td class="paramtype">const q31_t&#160;</td>
          <td class="paramname"><em>dividend</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const q31_t&#160;</td>
          <td class="paramname"><em>exponent</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">dividend</td><td>- Dividend </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">exponent</td><td>- Divisor = power(2, exponent) Range: [0, 31] </td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>Rounded result of division. Midpoint is rounded away from zero. </dd></dl>

<p>Referenced by <a class="el" href="arm__nnsupportfunctions_8h.html#a6a13b7a567485da5fc7f0d311318886d">arm_nn_requantize()</a>.</p>

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          <td class="memname">__STATIC_FORCEINLINE q31_t arm_nn_doubling_high_mult </td>
          <td>(</td>
          <td class="paramtype">const q31_t&#160;</td>
          <td class="paramname"><em>m1</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const q31_t&#160;</td>
          <td class="paramname"><em>m2</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">m1</td><td>Multiplicand. Range: {NN_Q31_MIN, NN_Q31_MAX} </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">m2</td><td>Multiplier. Range: {NN_Q31_MIN, NN_Q31_MAX} </td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>Result of multiplication. </dd></dl>

<p>References <a class="el" href="arm__nn__math__types_8h.html#a602e8d32c870d50039bbd651fd9b4544">NN_Q31_MAX</a>, and <a class="el" href="arm__nn__math__types_8h.html#aa10494e03ee6bdf5d573079ca559f073">NN_Q31_MIN</a>.</p>

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          <td class="memname">__STATIC_FORCEINLINE q31_t arm_nn_doubling_high_mult_no_sat </td>
          <td>(</td>
          <td class="paramtype">const q31_t&#160;</td>
          <td class="paramname"><em>m1</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const q31_t&#160;</td>
          <td class="paramname"><em>m2</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">m1</td><td>Multiplicand. Range: {NN_Q31_MIN, NN_Q31_MAX} </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">m2</td><td>Multiplier Range: {NN_Q31_MIN, NN_Q31_MAX} </td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>Result of multiplication. </dd></dl>
<dl class="section note"><dt>Note</dt><dd>The result of this matches that of neon instruction VQRDMULH for m1 in range {NN_Q31_MIN, NN_Q31_MAX} and m2 in range {NN_Q31_MIN + 1, NN_Q31_MAX}. Saturation occurs when m1 equals m2 equals NN_Q31_MIN and that is not handled by this function. </dd></dl>

<p>References <a class="el" href="structarm__nn__double.html#a66939b6b5007a77c843d260b431e68ac">arm_nn_double::high</a>, <a class="el" href="unionarm__nn__long__long.html#a4dbadc95589c36dcfdb4ec2f21bd2a72">arm_nn_long_long::long_long</a>, <a class="el" href="structarm__nn__double.html#a9a087dfc1ed77e9f00ac7411a5827c82">arm_nn_double::low</a>, and <a class="el" href="unionarm__nn__long__long.html#a911c83d212457726d888e0c845a01155">arm_nn_long_long::word</a>.</p>

<p>Referenced by <a class="el" href="arm__nnsupportfunctions_8h.html#a6a13b7a567485da5fc7f0d311318886d">arm_nn_requantize()</a>.</p>

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          <td class="memname">__STATIC_FORCEINLINE int32_t arm_nn_exp_on_negative_values </td>
          <td>(</td>
          <td class="paramtype">int32_t&#160;</td>
          <td class="paramname"><em>val</em></td><td>)</td>
          <td></td>
        </tr>
      </table>
</div><div class="memdoc">

<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a7ce5ee6d8839bf541fb4bbdf4ef80eb1">DIV_POW2</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a76b700415a2c22cea484103b7123739b">MASK_IF_ZERO</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a518f7e0db18bea6b61a2b88f266aef20">MUL_SAT</a>, <a class="el" href="arm__nn__math__types_8h.html#a602e8d32c870d50039bbd651fd9b4544">NN_Q31_MAX</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a4b3b6a6ed8cb224c5bcabd9ad1c94fde">SELECT_IF_NON_ZERO</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a6f69b7e95b80e10a5f5d2ddbbfbc301f">SELECT_USING_MASK</a>.</p>

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          <td class="memname">q7_t* arm_nn_mat_mult_kernel_q7_q15_reordered </td>
          <td>(</td>
          <td class="paramtype">const q7_t *&#160;</td>
          <td class="paramname"><em>pA</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const q15_t *&#160;</td>
          <td class="paramname"><em>pInBuffer</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const uint16_t&#160;</td>
          <td class="paramname"><em>ch_im_out</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const uint16_t&#160;</td>
          <td class="paramname"><em>numCol_A</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const uint16_t&#160;</td>
          <td class="paramname"><em>bias_shift</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const uint16_t&#160;</td>
          <td class="paramname"><em>out_shift</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const q7_t *&#160;</td>
          <td class="paramname"><em>bias</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">q7_t *&#160;</td>
          <td class="paramname"><em>pOut</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">pA</td><td>pointer to operand A </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">pInBuffer</td><td>pointer to operand B, always conssists of 2 vectors </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>numRow of A </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">numCol_A</td><td>numCol of A </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>the bias </td></tr>
    <tr><td class="paramdir">[in,out]</td><td class="paramname">pOut</td><td>pointer to output </td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>The function returns the incremented output pointer</dd></dl>
<p>This function assumes that data in pInBuffer are reordered</p>
<p>Matrix-multiplication function for convolution with reordered columns.</p>
<p>Refer to header file for details. </p>

<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#afdda94a339b76615d3161e9fc63f4d21">arm_nn_read_q15x2_ia()</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>

<p>Referenced by <a class="el" href="group__NNConv.html#ga110adcfdaab356c750c6270aa5e05f29">arm_convolve_1x1_HWC_q7_fast_nonsquare()</a>, <a class="el" href="group__NNConv.html#gae00d3c1285907d59657369fc98bcc83f">arm_convolve_HWC_q7_fast()</a>, and <a class="el" href="group__NNConv.html#gabc6d6b991024e9e5c5cdbd7489de88ef">arm_convolve_HWC_q7_fast_nonsquare()</a>.</p>

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          <td class="memname">q15_t* arm_nn_mat_mult_kernel_s16 </td>
          <td>(</td>
          <td class="paramtype">const q7_t *&#160;</td>
          <td class="paramname"><em>input_a</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const q15_t *&#160;</td>
          <td class="paramname"><em>input_b</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t&#160;</td>
          <td class="paramname"><em>output_ch</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t *&#160;</td>
          <td class="paramname"><em>out_shift</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t *&#160;</td>
          <td class="paramname"><em>out_mult</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int16_t&#160;</td>
          <td class="paramname"><em>activation_min</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int16_t&#160;</td>
          <td class="paramname"><em>activation_max</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t&#160;</td>
          <td class="paramname"><em>num_col_a</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int64_t *const&#160;</td>
          <td class="paramname"><em>output_bias</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">q15_t *&#160;</td>
          <td class="paramname"><em>out_0</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">input_a</td><td>pointer to operand A </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">input_b</td><td>pointer to operand B, always consists of 2 vectors. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">output_ch</td><td>number of rows of A </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>pointer to per output channel requantization shift parameter. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">out_mult</td><td>pointer to per output channel requantization multiplier parameter. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">activation_min</td><td>minimum value to clamp the output to. Range : int16 </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">activation_max</td><td>maximum value to clamp the output to. Range : int16 </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">num_col_a</td><td>number of columns of A </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">output_bias</td><td>per output channel bias. Range : int64 </td></tr>
    <tr><td class="paramdir">[in,out]</td><td class="paramname">out_0</td><td>pointer to output </td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>The function returns one of the two<ol type="1">
<li>The incremented output pointer for a successful operation or</li>
<li>NULL if implementation is not available.</li>
</ol>
</dd></dl>
<p>This function does the matrix multiplication of weight matrix for all output channels with 2 columns from im2col and produces two elements/output_channel. The outputs are clamped in the range provided by activation min and max. Supported framework: TensorFlow Lite micro. </p>

<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#afdda94a339b76615d3161e9fc63f4d21">arm_nn_read_q15x2_ia()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a6a13b7a567485da5fc7f0d311318886d">arm_nn_requantize()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#aa03e369b608572b80a4e56e8298a21c0">arm_nn_requantize_s64()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#ad935f1ff1a50822e317bdb321ce991ad">MAX</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#adcd021ac91d43a62b2cdecf9a5b971a7">MIN</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a19343832dbe881d527496171f69dc0c3">REDUCE_MULTIPLIER</a>.</p>

<p>Referenced by <a class="el" href="group__NNConv.html#gadda1e5325d511d56716111548c787a1c">arm_convolve_fast_s16()</a>.</p>

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          <td class="memname">q7_t* arm_nn_mat_mult_kernel_s8_s16 </td>
          <td>(</td>
          <td class="paramtype">const q7_t *&#160;</td>
          <td class="paramname"><em>input_a</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const q15_t *&#160;</td>
          <td class="paramname"><em>input_b</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const uint16_t&#160;</td>
          <td class="paramname"><em>output_ch</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t *&#160;</td>
          <td class="paramname"><em>out_shift</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t *&#160;</td>
          <td class="paramname"><em>out_mult</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t&#160;</td>
          <td class="paramname"><em>out_offset</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int16_t&#160;</td>
          <td class="paramname"><em>activation_min</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int16_t&#160;</td>
          <td class="paramname"><em>activation_max</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const uint16_t&#160;</td>
          <td class="paramname"><em>num_col_a</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t *const&#160;</td>
          <td class="paramname"><em>output_bias</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">q7_t *&#160;</td>
          <td class="paramname"><em>out_0</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">input_a</td><td>pointer to operand A </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">input_b</td><td>pointer to operand B, always consists of 2 vectors. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">output_ch</td><td>number of rows of A </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>pointer to per output channel requantization shift parameter. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">out_mult</td><td>pointer to per output channel requantization multiplier parameter. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">out_offset</td><td>output tensor offset. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">activation_min</td><td>minimum value to clamp the output to. Range : int8 </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">activation_max</td><td>maximum value to clamp the output to. Range : int8 </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">num_col_a</td><td>number of columns of A </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">output_bias</td><td>per output channel bias. Range : int32 </td></tr>
    <tr><td class="paramdir">[in,out]</td><td class="paramname">out_0</td><td>pointer to output </td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>The function returns one of the two<ol type="1">
<li>The incremented output pointer for a successful operation or</li>
<li>NULL if implementation is not available.</li>
</ol>
</dd></dl>
<p>This function does the matrix multiplication of weight matrix for all output channels with 2 columns from im2col and produces two elements/output_channel. The outputs are clamped in the range provided by activation min and max. Supported framework: TensorFlow Lite micro. </p>

<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#afdda94a339b76615d3161e9fc63f4d21">arm_nn_read_q15x2_ia()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a6a13b7a567485da5fc7f0d311318886d">arm_nn_requantize()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#ad935f1ff1a50822e317bdb321ce991ad">MAX</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#adcd021ac91d43a62b2cdecf9a5b971a7">MIN</a>.</p>

<p>Referenced by <a class="el" href="group__NNConv.html#ga34bb5c05805ca7d5ea9681fcad8a711d">arm_convolve_s8()</a>.</p>

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        <tr>
          <td class="memname">q7_t* arm_nn_mat_mult_s8 </td>
          <td>(</td>
          <td class="paramtype">const q7_t *&#160;</td>
          <td class="paramname"><em>input_row</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const q7_t *&#160;</td>
          <td class="paramname"><em>input_col</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const uint16_t&#160;</td>
          <td class="paramname"><em>output_ch</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const uint16_t&#160;</td>
          <td class="paramname"><em>col_batches</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t *&#160;</td>
          <td class="paramname"><em>output_shift</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t *&#160;</td>
          <td class="paramname"><em>output_mult</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t&#160;</td>
          <td class="paramname"><em>out_offset</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t&#160;</td>
          <td class="paramname"><em>col_offset</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t&#160;</td>
          <td class="paramname"><em>row_offset</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int16_t&#160;</td>
          <td class="paramname"><em>out_activation_min</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int16_t&#160;</td>
          <td class="paramname"><em>out_activation_max</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const uint16_t&#160;</td>
          <td class="paramname"><em>row_len</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t *const&#160;</td>
          <td class="paramname"><em>bias</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">q7_t *&#160;</td>
          <td class="paramname"><em>out</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">input_row</td><td>pointer to row operand </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">input_col</td><td>pointer to col operand </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">output_ch</td><td>number of rows of input_row </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">col_batches</td><td>number of column batches. Range: 1 to 4 </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">output_shift</td><td>pointer to per output channel requantization shift parameter. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">output_mult</td><td>pointer to per output channel requantization multiplier parameter. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">out_offset</td><td>output tensor offset. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">col_offset</td><td>input tensor(col) offset. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">row_offset</td><td>kernel offset(row). Not used. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">out_activation_min</td><td>minimum value to clamp the output to. Range : int8 </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">out_activation_max</td><td>maximum value to clamp the output to. Range : int8 </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">row_len</td><td>number of elements in each row </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>per output channel bias. Range : int32 </td></tr>
    <tr><td class="paramdir">[in,out]</td><td class="paramname">out</td><td>pointer to output </td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>The function returns one of the two<ol type="1">
<li>The incremented output pointer for a successful operation or</li>
<li>NULL if implementation is not available.</li>
</ol>
</dd></dl>
<p>Supported framework: TensorFlow Lite </p>

<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a6a13b7a567485da5fc7f0d311318886d">arm_nn_requantize()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#ad935f1ff1a50822e317bdb321ce991ad">MAX</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#adcd021ac91d43a62b2cdecf9a5b971a7">MIN</a>.</p>

<p>Referenced by <a class="el" href="group__NNConv.html#ga34bb5c05805ca7d5ea9681fcad8a711d">arm_convolve_s8()</a>.</p>

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          <td class="memname">__STATIC_FORCEINLINE q31_t arm_nn_mult_by_power_of_two </td>
          <td>(</td>
          <td class="paramtype">const int32_t&#160;</td>
          <td class="paramname"><em>val</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32_t&#160;</td>
          <td class="paramname"><em>exp</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">

<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a0bc8558b22558613ed3ad3eb624ec7a5">MASK_IF_NON_ZERO</a>, <a class="el" href="arm__nn__math__types_8h.html#a602e8d32c870d50039bbd651fd9b4544">NN_Q31_MAX</a>, <a class="el" href="arm__nn__math__types_8h.html#aa10494e03ee6bdf5d573079ca559f073">NN_Q31_MIN</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a6f69b7e95b80e10a5f5d2ddbbfbc301f">SELECT_USING_MASK</a>.</p>

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          <td class="memname">__STATIC_FORCEINLINE int32_t arm_nn_one_over_one_plus_x_for_x_in_0_1 </td>
          <td>(</td>
          <td class="paramtype">int32_t&#160;</td>
          <td class="paramname"><em>val</em></td><td>)</td>
          <td></td>
        </tr>
      </table>
</div><div class="memdoc">

<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a9d7332bc4331d55ada7ea19407e2a8c3">MUL_POW2</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a518f7e0db18bea6b61a2b88f266aef20">MUL_SAT</a>, and <a class="el" href="arm__nn__math__types_8h.html#a602e8d32c870d50039bbd651fd9b4544">NN_Q31_MAX</a>.</p>

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<a class="anchor" id="a9d505dfe68f4486c2327df8a857a89ad"></a>
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          <td class="memname">__STATIC_FORCEINLINE q31_t arm_nn_read_q15x2 </td>
          <td>(</td>
          <td class="paramtype">const q15_t *&#160;</td>
          <td class="paramname"><em>in_q15</em></td><td>)</td>
          <td></td>
        </tr>
      </table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">in_q15</td><td>pointer to address of input. </td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>q31 value </dd></dl>

<p>Referenced by <a class="el" href="group__NNConv.html#gab9dc832c407c0fe0f4d6fbb063e85e97">arm_depthwise_conv_s8_opt()</a>, <a class="el" href="group__NNBasicMath.html#ga379c39e614f1468e1fdb524f51fb6061">arm_nn_accumulate_q7_to_q15()</a>, <a class="el" href="arm__max__pool__s16_8c.html#a464e5d2cf70e82eb27be23b94a793cf6">clamp_output()</a>, and <a class="el" href="arm__max__pool__s16_8c.html#a61d8f1ffa151d8a3327aea577f8c63a3">compare_and_replace_if_larger()</a>.</p>

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<a class="anchor" id="afdda94a339b76615d3161e9fc63f4d21"></a>
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          <td class="memname">__STATIC_FORCEINLINE q31_t arm_nn_read_q15x2_ia </td>
          <td>(</td>
          <td class="paramtype">const q15_t **&#160;</td>
          <td class="paramname"><em>in_q15</em></td><td>)</td>
          <td></td>
        </tr>
      </table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">in_q15</td><td>Pointer to pointer that holds address of input. </td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>q31 value </dd></dl>

<p>Referenced by <a class="el" href="group__NNConv.html#ga110adcfdaab356c750c6270aa5e05f29">arm_convolve_1x1_HWC_q7_fast_nonsquare()</a>, <a class="el" href="group__NNConv.html#gadda1e5325d511d56716111548c787a1c">arm_convolve_fast_s16()</a>, <a class="el" href="group__NNConv.html#ga55701f213b198084b52eab53097f1f58">arm_convolve_HWC_q15_basic()</a>, <a class="el" href="group__NNConv.html#ga4efb1ccbbaa7dd936961989dcb443f50">arm_convolve_HWC_q15_fast()</a>, <a class="el" href="group__NNConv.html#ga614ec3b71eb96e29952ec3f09e7b9c3c">arm_convolve_HWC_q15_fast_nonsquare()</a>, <a class="el" href="group__NNConv.html#ga210ae8d8fc1d12ee15b41f1fa6947681">arm_convolve_HWC_q7_basic()</a>, <a class="el" href="group__NNConv.html#ga4501fa22c0836002aa47ccc313dce252">arm_convolve_HWC_q7_basic_nonsquare()</a>, <a class="el" href="group__NNConv.html#gae00d3c1285907d59657369fc98bcc83f">arm_convolve_HWC_q7_fast()</a>, <a class="el" href="group__NNConv.html#gabc6d6b991024e9e5c5cdbd7489de88ef">arm_convolve_HWC_q7_fast_nonsquare()</a>, <a class="el" href="group__NNConv.html#ga98f2ead67d7cbdf558b0cd8a3b8fc148">arm_convolve_HWC_q7_RGB()</a>, <a class="el" href="group__NNConv.html#ga34bb5c05805ca7d5ea9681fcad8a711d">arm_convolve_s8()</a>, <a class="el" href="group__FC.html#ga4a1521e7532a1e62d71f3b12762016e2">arm_fully_connected_mat_q7_vec_q15()</a>, <a class="el" href="group__FC.html#gae3857bb6375692e81dde8cbd70adec08">arm_fully_connected_mat_q7_vec_q15_opt()</a>, <a class="el" href="group__FC.html#gaac666c212b209e636c2369dd5c75d0dc">arm_fully_connected_q15()</a>, <a class="el" href="group__FC.html#ga062912078da113f5dd2004fd919a0ff2">arm_fully_connected_q15_opt()</a>, <a class="el" href="group__FC.html#ga8b7e0c2e989e8c75f0dc789f3115323d">arm_fully_connected_q7()</a>, <a class="el" href="group__FC.html#gaf82b71ef472a38f8fc9ac414d9d07e67">arm_fully_connected_q7_opt()</a>, <a class="el" href="arm__nn__mat__mult__kernel__q7__q15_8c.html#abc4fb258cfe8500ee68e812a293a80a3">arm_nn_mat_mult_kernel_q7_q15()</a>, <a class="el" href="arm__nn__mat__mult__kernel__q7__q15__reordered_8c.html#aefe9c7ce9a65060a244b06dffe74c4b3">arm_nn_mat_mult_kernel_q7_q15_reordered()</a>, <a class="el" href="arm__nn__mat__mul__kernel__s16_8c.html#a674055a9eeb7299669c8c4b6532de342">arm_nn_mat_mult_kernel_s16()</a>, <a class="el" href="arm__nn__mat__mult__kernel__s8__s16_8c.html#a2da69a593037381cd149616f2fd57cce">arm_nn_mat_mult_kernel_s8_s16()</a>, <a class="el" href="group__NNBasicMath.html#ga721f565a0b8015a3d6d46535cadf63d3">arm_nn_vec_mat_mult_t_s16()</a>, <a class="el" href="group__Acti.html#ga53bcc00e54b802919bb3c89c143ee5ba">arm_relu_q15()</a>, <a class="el" href="group__SVDF.html#ga3dc1b94f56e80e5b80b353ce8d9650b3">arm_svdf_state_s16_s8()</a>, and <a class="el" href="arm__max__pool__s16_8c.html#a61d8f1ffa151d8a3327aea577f8c63a3">compare_and_replace_if_larger()</a>.</p>

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<a class="anchor" id="a31fa46f17212fbcb65d2cdae06fc08f5"></a>
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          <td class="memname">__STATIC_FORCEINLINE q31_t arm_nn_read_q7x4 </td>
          <td>(</td>
          <td class="paramtype">const q7_t *&#160;</td>
          <td class="paramname"><em>in_q7</em></td><td>)</td>
          <td></td>
        </tr>
      </table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">in_q7</td><td>pointer to address of input. </td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>q31 value </dd></dl>

<p>Referenced by <a class="el" href="group__NNConv.html#ga98f2ead67d7cbdf558b0cd8a3b8fc148">arm_convolve_HWC_q7_RGB()</a>, <a class="el" href="group__NNConv.html#ga558337f134d84dac2c312c5175bd67de">arm_depthwise_conv_3x3_s8()</a>, <a class="el" href="group__NNConv.html#gab9dc832c407c0fe0f4d6fbb063e85e97">arm_depthwise_conv_s8_opt()</a>, <a class="el" href="group__NNConv.html#gad3d21b3bc6dbd6f3b97d01104349cb0a">arm_depthwise_separable_conv_HWC_q7()</a>, <a class="el" href="group__NNConv.html#ga32ac508c5467813a84f74f96655dc697">arm_depthwise_separable_conv_HWC_q7_nonsquare()</a>, <a class="el" href="group__NNBasicMath.html#ga360cdaa16c399e3bfbeaaa7296c326e1">arm_nn_mat_mult_nt_t_s8()</a>, <a class="el" href="arm__max__pool__s8_8c.html#ae73d902e6c38cf63ab235d6c4a3ff3b0">clamp_output()</a>, and <a class="el" href="arm__max__pool__s8_8c.html#a3b21bd4a5703839f9ffa5407502c302c">compare_and_replace_if_larger_q7()</a>.</p>

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<a class="anchor" id="ac9f7be20432a6926ac07c1f44b1b02fe"></a>
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          <td class="memname">__STATIC_FORCEINLINE q31_t arm_nn_read_q7x4_ia </td>
          <td>(</td>
          <td class="paramtype">const q7_t **&#160;</td>
          <td class="paramname"><em>in_q7</em></td><td>)</td>
          <td></td>
        </tr>
      </table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">in_q7</td><td>Pointer to pointer that holds address of input. </td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>q31 value </dd></dl>

<p>Referenced by <a class="el" href="group__FC.html#gae3857bb6375692e81dde8cbd70adec08">arm_fully_connected_mat_q7_vec_q15_opt()</a>, <a class="el" href="group__FC.html#gaf82b71ef472a38f8fc9ac414d9d07e67">arm_fully_connected_q7_opt()</a>, <a class="el" href="group__NNBasicMath.html#ga379c39e614f1468e1fdb524f51fb6061">arm_nn_accumulate_q7_to_q15()</a>, <a class="el" href="group__NNBasicMath.html#gae65bde3218210820d789659179e14ce3">arm_nn_add_q7()</a>, <a class="el" href="group__NNBasicMath.html#ga360cdaa16c399e3bfbeaaa7296c326e1">arm_nn_mat_mult_nt_t_s8()</a>, <a class="el" href="group__NNBasicMath.html#ga140e5a1a4c146c8e90491792ed104d70">arm_nn_vec_mat_mult_t_s8()</a>, <a class="el" href="group__NNBasicMath.html#gac0675e8069a303ce2e8f8ed2a9320859">arm_nn_vec_mat_mult_t_svdf_s8()</a>, <a class="el" href="group__nndata__convert.html#gae349de4dba8d253c89d45794ccf05680">arm_q7_to_q15_no_shift()</a>, <a class="el" href="group__nndata__convert.html#gaba8fd446d5f54760b406ee63b25d1aee">arm_q7_to_q15_reordered_no_shift()</a>, <a class="el" href="group__nndata__convert.html#ga18e161730cf13bb5ed73de2d3a7cb224">arm_q7_to_q15_reordered_with_offset()</a>, <a class="el" href="group__nndata__convert.html#gab2d48529ae05b350a015f8f1e6596a31">arm_q7_to_q15_with_offset()</a>, <a class="el" href="group__Acti.html#ga638e803b4fe00426f401783a6255ca30">arm_relu_q7()</a>, and <a class="el" href="arm__max__pool__s8_8c.html#a3b21bd4a5703839f9ffa5407502c302c">compare_and_replace_if_larger_q7()</a>.</p>

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          <td class="memname">__STATIC_FORCEINLINE q31_t arm_nn_requantize </td>
          <td>(</td>
          <td class="paramtype">const q31_t&#160;</td>
          <td class="paramname"><em>val</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const q31_t&#160;</td>
          <td class="paramname"><em>multiplier</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const q31_t&#160;</td>
          <td class="paramname"><em>shift</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">val</td><td>Value to be requantized </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">multiplier</td><td>multiplier. Range {NN_Q31_MIN + 1, Q32_MAX} </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">shift</td><td>left or right shift for 'val * multiplier'</td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>Returns (val * multiplier)/(2 ^ shift) </dd></dl>

<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#ab6dbc2fd53fae3ccdd1d0d70c8d3b491">arm_nn_divide_by_power_of_two()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a4e5183e2400227aafc91fb796fe99a6d">arm_nn_doubling_high_mult_no_sat()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a2953f124ae444ebdd2b2a0873ac36b7e">LEFT_SHIFT</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a26af54489c1401b91595bf0c92ef87c4">RIGHT_SHIFT</a>.</p>

<p>Referenced by <a class="el" href="group__NNConv.html#ga53608c814d9b8a458f4d87f8f40051b7">arm_convolve_1x1_s8_fast()</a>, <a class="el" href="group__NNConv.html#gadda1e5325d511d56716111548c787a1c">arm_convolve_fast_s16()</a>, <a class="el" href="group__NNConv.html#ga34bb5c05805ca7d5ea9681fcad8a711d">arm_convolve_s8()</a>, <a class="el" href="group__NNConv.html#ga558337f134d84dac2c312c5175bd67de">arm_depthwise_conv_3x3_s8()</a>, <a class="el" href="group__NNConv.html#gab9dc832c407c0fe0f4d6fbb063e85e97">arm_depthwise_conv_s8_opt()</a>, <a class="el" href="group__BasicMath.html#ga9e988362b8860a0108e62caf03e19b45">arm_elementwise_add_s16()</a>, <a class="el" href="group__BasicMath.html#ga19f5c245db9ecfb7918fe1fc4f16af2b">arm_elementwise_add_s8()</a>, <a class="el" href="group__BasicMath.html#gab38457329632897eb6efedf9dfcef1e4">arm_elementwise_mul_s16()</a>, <a class="el" href="group__BasicMath.html#ga345f342f6368a715ca3816c3cc3b7f70">arm_elementwise_mul_s8()</a>, <a class="el" href="arm__nn__mat__mul__kernel__s16_8c.html#a674055a9eeb7299669c8c4b6532de342">arm_nn_mat_mult_kernel_s16()</a>, <a class="el" href="arm__nn__mat__mult__kernel__s8__s16_8c.html#a2da69a593037381cd149616f2fd57cce">arm_nn_mat_mult_kernel_s8_s16()</a>, <a class="el" href="group__NNBasicMath.html#ga360cdaa16c399e3bfbeaaa7296c326e1">arm_nn_mat_mult_nt_t_s8()</a>, <a class="el" href="arm__nn__mat__mult__s8_8c.html#a35a57ea2ae587628c8cc32fdb6e455d1">arm_nn_mat_mult_s8()</a>, <a class="el" href="group__NNBasicMath.html#ga140e5a1a4c146c8e90491792ed104d70">arm_nn_vec_mat_mult_t_s8()</a>, <a class="el" href="group__NNBasicMath.html#gac0675e8069a303ce2e8f8ed2a9320859">arm_nn_vec_mat_mult_t_svdf_s8()</a>, <a class="el" href="group__Softmax.html#ga3bc3ad13727a8a9d2cf7d0fba1209879">arm_softmax_s16()</a>, <a class="el" href="group__SVDF.html#gafbf5ad3c931103dff943fc39f8f9d519">arm_svdf_s8()</a>, <a class="el" href="group__SVDF.html#ga3dc1b94f56e80e5b80b353ce8d9650b3">arm_svdf_state_s16_s8()</a>, <a class="el" href="group__NNConv.html#ga8a0fd229483032bfe41183843e17f8f6">depthwise_conv_s8_generic()</a>, <a class="el" href="group__NNConv.html#ga06d7783f6788faad5165fd0ae583bc59">depthwise_conv_s8_mult_4()</a>, <a class="el" href="group__NNConv.html#gab98fd934700dff7667131744c8972d91">depthwise_conv_u8_generic()</a>, and <a class="el" href="group__NNConv.html#ga4c54b5bdb38fc20c2167bdfa289f1a2b">depthwise_conv_u8_mult_4()</a>.</p>

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          <td class="memname">__STATIC_FORCEINLINE q31_t arm_nn_requantize_s64 </td>
          <td>(</td>
          <td class="paramtype">const q63_t&#160;</td>
          <td class="paramname"><em>val</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const q31_t&#160;</td>
          <td class="paramname"><em>reduced_multiplier</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const q31_t&#160;</td>
          <td class="paramname"><em>shift</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">val</td><td>Value to be requantized in the range {-(1&lt;&lt;47)} to {(1&lt;&lt;47) - 1} </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">reduced_multiplier</td><td>Reduced multiplier in the range {NN_Q31_MIN + 1, Q32_MAX} to {Q16_MIN + 1, Q16_MAX} </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">shift</td><td>Left or right shift for 'val * multiplier' in the range {-31} to {7}</td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>Returns (val * multiplier)/(2 ^ shift) </dd></dl>

<p>Referenced by <a class="el" href="group__NNConv.html#ga43c4623c2553d09a59385aabe971d75d">__attribute__()</a>, <a class="el" href="group__NNConv.html#gadda1e5325d511d56716111548c787a1c">arm_convolve_fast_s16()</a>, <a class="el" href="group__NNConv.html#gaf3e58798b12fa230d6a6487887aa13bf">arm_convolve_s16()</a>, <a class="el" href="arm__nn__mat__mul__kernel__s16_8c.html#a674055a9eeb7299669c8c4b6532de342">arm_nn_mat_mult_kernel_s16()</a>, <a class="el" href="group__NNBasicMath.html#ga721f565a0b8015a3d6d46535cadf63d3">arm_nn_vec_mat_mult_t_s16()</a>, and <a class="el" href="group__NNConv.html#gadde7c225c29269334cd821ead685361d">depthwise_conv_s16_generic_s16()</a>.</p>

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          <td class="memname">__STATIC_FORCEINLINE void arm_nn_write_q15x2_ia </td>
          <td>(</td>
          <td class="paramtype">q15_t **&#160;</td>
          <td class="paramname"><em>dest_q15</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">q31_t&#160;</td>
          <td class="paramname"><em>src_q31</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">dest_q15</td><td>Pointer to pointer that holds address of destination. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">src_q31</td><td>Input value to be written. </td></tr>
  </table>
  </dd>
</dl>

<p>Referenced by <a class="el" href="group__NNBasicMath.html#ga379c39e614f1468e1fdb524f51fb6061">arm_nn_accumulate_q7_to_q15()</a>, <a class="el" href="group__nndata__convert.html#gae349de4dba8d253c89d45794ccf05680">arm_q7_to_q15_no_shift()</a>, <a class="el" href="group__nndata__convert.html#ga18e161730cf13bb5ed73de2d3a7cb224">arm_q7_to_q15_reordered_with_offset()</a>, <a class="el" href="group__nndata__convert.html#gab2d48529ae05b350a015f8f1e6596a31">arm_q7_to_q15_with_offset()</a>, <a class="el" href="group__Acti.html#ga53bcc00e54b802919bb3c89c143ee5ba">arm_relu_q15()</a>, <a class="el" href="arm__max__pool__s16_8c.html#a464e5d2cf70e82eb27be23b94a793cf6">clamp_output()</a>, and <a class="el" href="arm__max__pool__s16_8c.html#a61d8f1ffa151d8a3327aea577f8c63a3">compare_and_replace_if_larger()</a>.</p>

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          <td class="memname">__STATIC_FORCEINLINE void arm_nn_write_q7x4_ia </td>
          <td>(</td>
          <td class="paramtype">q7_t **&#160;</td>
          <td class="paramname"><em>in</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">q31_t&#160;</td>
          <td class="paramname"><em>value</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">in</td><td>Double pointer to input value </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">value</td><td>Four bytes to copy </td></tr>
  </table>
  </dd>
</dl>

<p>Referenced by <a class="el" href="group__BasicMath.html#ga19f5c245db9ecfb7918fe1fc4f16af2b">arm_elementwise_add_s8()</a>, <a class="el" href="group__BasicMath.html#ga345f342f6368a715ca3816c3cc3b7f70">arm_elementwise_mul_s8()</a>, <a class="el" href="group__nndata__convert.html#gaba8fd446d5f54760b406ee63b25d1aee">arm_q7_to_q15_reordered_no_shift()</a>, <a class="el" href="group__Acti.html#ga638e803b4fe00426f401783a6255ca30">arm_relu_q7()</a>, <a class="el" href="arm__max__pool__s8_8c.html#ae73d902e6c38cf63ab235d6c4a3ff3b0">clamp_output()</a>, and <a class="el" href="arm__max__pool__s8_8c.html#a3b21bd4a5703839f9ffa5407502c302c">compare_and_replace_if_larger_q7()</a>.</p>

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